Teams

SoCal/Tang/Men'sTriLevel

2022 Tri-Level League - San Gabriel Valley · SGV - Men 3.5

17 players · average NTRP 4.56 / SO.CALIFORNIA

View scouting list →
Schedule2 played
2022-08-29vs SGV Dare Doubles-Flores - WN/SA 8Lost 01
L#1 DoublesChung Yuem / Joshua Kim vs Edgar Bove / Gavin Lau6-7, 4-6
W#1 DoublesJoshua Kim / Robert Birmingham vs Darren Wong / Ulises Lorenzo Garcia6-3, 6-1
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.

Flight standings for SGV - Men 3.5 have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

ScoutingWhere each opponent usually plays

Signed-in extra: whether this captain plays strict strength order or mixes it up, from every doubles line they have put out. Create a free account to see it.

Roster averages 4.07 estimated across 12 rated players. No lineup is published in advance, so the column below is where each player has actually been used — a captain's habits are the best available forecast. Sign in and claim your record to see who you have played.

4.83
Hans Hettich
published 5
Eugene Shin
published 5
4.56
EDWARD CHOI
published 5
4.55
Eugene Tran
published 5
4.27
Colin Tang
published 4
4.08
Brian Newhall
published 4.5
4.04
Richard Phung
published
3.92
David Lui
published 4
3.83
Jongjin Lee
published
3.80
William Ko
published
3.76
Yoshiki Hisamoto
published
3.60
Anthony Lim
published 4
3.54
Jonathan Mak
published
Joshua Kim
usually #1 Doubles 100% · published
Juan Ramirez
published
Robert Birmingham
published
Troy de la Cruz
published
Established pairs

Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.

Hans Hettich + Eugene Shin123 matchesnot enough data
Roster

Ordered by our estimated dynamic rating, which is why two players at the same published level are not tied — a published 4.0 says nothing about where inside the band someone sits. Lines played in this team’s season are shown beside each name.

5
Hans Hettich
11W–13L career · no lines in 2022
1%90%10%
4.83
5
Eugene Shin
4W–4L career · no lines in 2022
not enough data
5
EDWARD CHOI
4W–9L career · no lines in 2022
32%68%<1%
4.56
5
Eugene Tran
5W–9L career · no lines in 2022
35%65%<1%
4.55
4
Colin Tang
17W–2L career · no lines in 2022
<1%2%98%
4.27
4.5
Brian Newhall
4W–5L career · no lines in 2022
28%72%<1%
4.08
Richard Phung
2W–5L career · no lines in 2022
37%63%<1%
4.04
4
David Lui
7W–4L career · no lines in 2022
<1%73%27%
3.92
Jongjin Lee
9W–6L career · no lines in 2022
<1%1%99%
3.83
William Ko
3W–2L career · no lines in 2022
1%93%6%
3.80
Yoshiki Hisamoto
6W–0L career · no lines in 2022
<1%2%98%
3.76
4
Anthony Lim
8W–0L career · no lines in 2022
22%78%<1%
3.60
Jonathan Mak
3W–6L career · no lines in 2022
36%64%<1%
3.54
Joshua Kim
13W–3L career · 2 lines in 2022
not enough data
Juan Ramirez
2W–6L career · no lines in 2022
not enough data
Robert Birmingham
4W–4L career · no lines in 2022
not enough data
Troy de la Cruz
8W–0L career · no lines in 2022
not enough data

Three percentages are where each player stands right now: the chance they are below their band, inside it, or above it, on the way they are playing this season. The number on the right is our estimated dynamic rating, which USTA never publishes. This is today rather than a forecast of December, because a forecast has to assume future matches and cannot know whether someone will even be offered them. Percentages are blank where a player has too few matches this season, or at a level where the model does not yet beat a base-rate guess; the estimate is a weaker claim than a probability and survives where those do not.

Not affiliated with or endorsed by the USTA. Ratings labelled as published are USTA year-end figures; anything we describe as an estimate is ours, not USTA’s. Match data is from USTA TennisLink.